Mathematical Foundations ML ML Frameworks

Educational resources, textbooks, and tutorials covering core mathematics (linear algebra, calculus, probability, statistics, optimization) essential for understanding machine learning algorithms. Does NOT include applied ML frameworks, specific algorithm implementations beyond pedagogical examples, or domain-specific applications.

There are 68 mathematical foundations ml frameworks tracked. 1 score above 50 (established tier). The highest-rated is jonkrohn/ML-foundations at 51/100 with 4,612 stars.

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#	Framework	Score	Tier	Stars	Language
1	jonkrohn/ML-foundations Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science	51	Established	4,612	Jupyter Notebook
2	Visualize-ML/Book5_Essentials-of-Probability-and-Statistics Book_5_《统计至简》 \| 鸢尾花书：从加减乘除到机器学习；上架！	49	Emerging	3,591	Jupyter Notebook
3	tiagomonteiro0715/The-Math-Behind-Artificial-Intelligence-A-Guide-to-AI-Foundations A book on the mathematical foundations of AI from an engineering perspective.	49	Emerging	118	Python
4	Visualize-ML/Book7_Visualizations-for-Machine-Learning Book_7_《机器学习》 \| 鸢尾花书：从加减乘除到机器学习；欢迎批评指正	48	Emerging	3,209	Jupyter Notebook
5	Visualize-ML/Book3_Elements-of-Mathematics Book_3_《数学要素》 \| 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！	48	Emerging	7,383	Jupyter Notebook
6	Visualize-ML/Book6_First-Course-in-Data-Science Book_6_《数据有道》 \| 鸢尾花书：从加减乘除到机器学习；欢迎大家批评指正！纠错多的同学会得到赠书感谢！	48	Emerging	2,613	Jupyter Notebook
7	Visualize-ML/Book4_Power-of-Matrix Book_4_《矩阵力量》 \| 鸢尾花书：从加减乘除到机器学习；上架！	47	Emerging	9,819	Jupyter Notebook
8	hrnbot/Basic-Mathematics-for-Machine-Learning The motive behind Creating this repo is to feel the fear of mathematics and...	44	Emerging	726	Jupyter Notebook
9	amitkaps/hackermath Introduction to Statistics and Basics of Mathematics for Data Science - The...	44	Emerging	1,461	Jupyter Notebook
10	fastai/numerical-linear-algebra Free online textbook of Jupyter notebooks for fast.ai Computational Linear...	43	Emerging	10,718	Jupyter Notebook
11	sagardevaraju/Linear-Algebra-for-Machine-Learning-and-Data-Science Notebooks and notes from going through Deeplearning.AI's linear algebra course	39	Emerging	66	Jupyter Notebook
12	dair-ai/Mathematics-for-ML 🧮 A collection of resources to learn mathematics for machine learning	39	Emerging	5,817	—
13	MathWorks-Teaching-Resources/Applied-Linear-Algebra Learn linear algebra by applications in stoichiometry, steganography, static...	36	Emerging	21	MATLAB
14	greyhatguy007/Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera Mathematics for Machine Learning and Data Science Specialization - Coursera...	36	Emerging	894	Jupyter Notebook
15	Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization Master the Toolkit of AI and Machine Learning. Mathematics for Machine...	36	Emerging	801	Jupyter Notebook
16	MonitSharma/Numerical-Linear-Algebra A course on Linear Algebra using Python in Jupyter notebooks	36	Emerging	49	Jupyter Notebook
17	ilmoi/MML-Book Code / solutions for Mathematics for Machine Learning (MML Book)	36	Emerging	1,226	Jupyter Notebook
18	Visualize-ML/Linear-Algebra-Made-Easy---Learn-with-Python-and-Visualization ”数学不难“ 之《线性代数不难》上下册，66话题完册；欢迎批评指正	35	Emerging	1,453	Jupyter Notebook
19	huangtinglin/Linear-Algebra-and-Its-Applications-notes 《线性代数及其应用》笔记	35	Emerging	409	Jupyter Notebook
20	Sarah111-AHM/StatML-Study- collaboratively curated repository compiling and synthesizing lectures...	35	Emerging	2	—
21	maykulkarni/Machine-Learning-Curriculum Complete path for a beginner to become a Machine Learning Scientist!	35	Emerging	345	—
22	krishnakumarsekar/awesome-machine-learning-deep-learning-mathematics A curated list of mathematics documents ,Concepts, Study Materials ,...	34	Emerging	227	—
23	RiazML/math-for-llms Complete mathematics curriculum for AI/ML/LLM - from foundations to research...	33	Emerging	17	Jupyter Notebook
24	rickiepark/math4ds <개발자를 위한 필수 수학>(한빛미디어, 2024)의 코드 저장소	31	Emerging	18	Jupyter Notebook
25	pabloinsente/math-app-ml Essential mathematics for applied machine learning and data science	30	Emerging	83	Jupyter Notebook
26	Renatochaz/Mathematics_for_Machine_Learning Notes and step-by-step exercises resolution to aid students learning the...	29	Experimental	62	Jupyter Notebook
27	chuksoo/Mathematics-for-Machine-Learning-and-Data-Science-Specialization This repository contains notes, slides, labs, assignments and projects for...	29	Experimental	5	Jupyter Notebook
28	LoyumM/Mathematics-for-Machine-Learning-and-Data-Science-Specialization Non-credit online course by DeepLearning.AI	28	Experimental	40	Jupyter Notebook
29	hongxin/csmath-2019 This mathematics course is taught for the first year Ph.D. students of...	27	Experimental	132	—
30	hongxin/CSMATH This mathematics course is taught for the first year Ph.D. students of...	26	Experimental	18	—
31	hongxin/csmath-2021 This mathematics course is taught for the first year Ph.D. students of...	25	Experimental	29	—
32	hongxin/csmath-2022 This mathematics course is taught for the first year Ph.D. students of...	25	Experimental	61	—
33	adderbyte/Math_For_AI Mathematical Materials for AI/Machine Learning/Studies	25	Experimental	10	—
34	RussellDash332/DSA1101 DSA1101 resources, including my own solution to the PYPs	24	Experimental	4	TeX
35	rohanmistry231/Mathematics-for-Machine-Learning-Books A curated collection of books, notes, and resources focused on mathematical...	24	Experimental	42	—
36	santanu2908/linear-algebra-essentials A beginner-friendly collection of Jupyter notebooks covering the essentials...	23	Experimental	1	Jupyter Notebook
37	JeffWang0325/Microsoft-DAT256X-Essential-Math-for-Machine-Learning-Python-Edition Machine learning and AI are built on mathematical principles like Calculus,...	23	Experimental	11	Jupyter Notebook
38	Joakr95/streamlined-applied-math-curriculum 🧮 Master applied mathematics with this free, self-paced curriculum designed...	23	Experimental	1	—
39	Hamna-Munir/Math-For-Machine-Learning A structured repository covering essential mathematics for machine learning,...	22	Experimental	—	Jupyter Notebook
40	diego446/linear-algebra 📚 Explore linear algebra concepts with this beginner-friendly guide,...	22	Experimental	—	TeX
41	santanu2908/calculus-essentials A structured collection of Jupyter notebooks covering the essential concepts...	22	Experimental	—	Jupyter Notebook
42	byoung77/Machine-Learning-Notes Mathematically focused notes on machine learning, covering theory,...	22	Experimental	—	—
43	yashsavani/Advanced-Foundations-of-ML A curated list of references to help you get up to speed with the concepts...	20	Experimental	15	Makefile
44	IAMIQBAL/Mathematics-for-Machine-Learning-and-Data-Science Coursera - Mathematics for Machine Learning and Data Science Specialization...	20	Experimental	27	Jupyter Notebook
45	KhushiBhadange/Mathematics-for-Machine-Learning-and-Data-Science This repository offers my learnings, reference solutions for developing...	19	Experimental	6	Jupyter Notebook
46	dodo47/Mathematics-of-Data-Science-2025 Lecture notes and additional material for the lecture "Mathematics of Data Science"	19	Experimental	—	Jupyter Notebook
47	CQULeaf/CUMCM-Resources 整合了数学建模国赛（CUMCM）备赛和比赛过程中使用到的所有关于模型建立、代码实现以及论文撰写相关的资料文件。	16	Experimental	3	Jupyter Notebook
48	IEEE-FCIH-SB/Machine-Learning-Content-2025 Here is the content of ML committe in season 2025	16	Experimental	7	Jupyter Notebook
49	A-Ahmed-I/ML-Math Essential ML math concepts and code.	15	Experimental	20	Python
50	GloriaShang/ModelGuide An interactive mathematical modeling model guide for beginners and...	15	Experimental	1	HTML
51	mlnjsh/math-foundations-for-ai Essential mathematics for AI/ML practitioners — linear algebra, calculus,...	15	Experimental	1	Python
52	Andrew20371160/ML_Math_Foundations This repo represents my journey of stepping into machine learning, this repo...	15	Experimental	1	—
53	krish-desai-123/Mathematics-and-Advanced-Statistics 🧮 A comprehensive 20-day learning track mastering Mathematics and Advanced...	15	Experimental	1	Jupyter Notebook
54	Hamna-Munir/Advanced_DSA-for-ML DSA-for-ML is a complete repository designed to teach Data Structures and...	15	Experimental	1	Python
55	tommasofacchin/mitx-micromasters-data-science Personal study repository for the MITx MicroMasters in Statistics and Data...	15	Experimental	1	TeX
56	ash-akash/ml-dl-foundations Research-oriented ML/DL foundations covering NumPy, Pandas, visualization,...	14	Experimental	3	Python
57	aniray2908/ML-foundations-rebuild A structured ML foundations sprint covering linear algebra, eigen/SVD/PCA...	14	Experimental	—	Jupyter Notebook
58	markoechevarria/math-to-ml This repository details the mathematical core of Machine Learning, featuring...	14	Experimental	—	Jupyter Notebook
59	PauloKarabyna/ml-foundations-day1 🔧 Set up a Python environment and practice linear algebra with NumPy while...	14	Experimental	—	Jupyter Notebook
60	terryyz/PyArmadillo PyArmadillo: an alternative approach to linear algebra in Python	14	Experimental	61	—
61	josue-rdgzcb/math-and-optimization-for-ml-foundations Foundational math and optimization concepts for machine learning, focusing...	14	Experimental	—	Python
62	Kamau-Johnson/Probability-Statistics-for-Data-Science-and-Machine-Learning This is a concise step by step handwritten notes for probability &...	14	Experimental	—	—
63	ernestdolog/probability-theory probability theory & statistics notes for AI/ML. 15 chapters, LaTeX...	14	Experimental	—	—
64	Phantom-fs/Mathematics-for-Machine-Learning MATHEMATICS FOR MACHINE LEARNING Coursera Specialization by IMPERIAL COLLEGE LONDON	13	Experimental	5	Jupyter Notebook
65	Kitsunp/kistmath-ai Kistmat-AI is an advanced machine learning model designed to solve a wide...	12	Experimental	3	Python
66	Mathforcoding/mathematics-for-machine-learning Official code for the book "Mathematics for Machine Learning." Implements...	11	Experimental	—	—
67	murigugitonga/math_4_ai Mathematics for Artificial Intelligence and Machine Learning.	11	Experimental	—	Jupyter Notebook
68	contactvaibhavi/linear-algebra Learning plan for core concepts	11	Experimental	—	—

Comparisons in this category

Book3_Elements-of-Mathematics and Book4_Power-of-Matrix (48 vs 47) Book7_Visualizations-for-Machine-Learning and Book4_Power-of-Matrix (48 vs 47) numerical-linear-algebra and Numerical-Linear-Algebra (43 vs 36) Book5_Essentials-of-Probability-and-Statistics and Book7_Visualizations-for-Machine-Learning (49 vs 48) Book5_Essentials-of-Probability-and-Statistics and Book6_First-Course-in-Data-Science (49 vs 48) Book7_Visualizations-for-Machine-Learning and Book6_First-Course-in-Data-Science (48 vs 48) Linear-Algebra-for-Machine-Learning-and-Data-Science and Linear-Algebra-and-Its-Applications-notes (39 vs 35)